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We at SAIL develop several projects funded by
Ministry for Education and Science of Russian Federation,
Russian Foundation for Basic Research,
Russian
Academy of Science, European Union (INTAS) and
NATO. These projects concentrate on the
following major topics:
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Air-sea interaction on different time scales. Characteristics of cyclone activity over the Northern Hemisphere. European climate variability. Experimental large-scale oceanography. Indo-Pacific tropical climate variability. Ocean general circulation modeling in different resolutions. Ocean wind wave studies.
Air-sea interaction on different time scales. This research is primarily funded by the
Ministry for Education and Science of Russian Federation, Russian Foundation for Basic Research and Russian Academy of Science.
The major focus of the research is on the development of new VOS-based and
blended global and regional ocean-atmosphere interaction fields, new
parameterizations of air-sea energy exchanges and statistical methodologies for
air-sea flux filed production. Most recently we developed global estimates of
sampling errors of ocean-atmosphere fluxes over the World Ocean (Gulev et al. 2006a,b) and a new method which allows for the reconstruction of
long-term air-sea interaction time series using limited data (Belyaev and Gulev
2006). For the development of new parameterizations of
air-sea short-wave and long-wave radiation fluxes we undertake in-situ
measurements of surface radiative fluxes under the MORE (Meridional Oceanic
Radiative Experiment). MORE is a joint
initiative of IORAS and the Leibniz Institute of Marine Sciences at the
University of Kiel (IFM-GEOMAR) with
some contributions from the UK Met Office and the
Meteorological Institute of the
University of Bonn. MORE is set up to conduct long-term, high quality
measurements of surface parameters and fluxes in the Atlantic Ocean with a
particular emphasis on short wave (SW) and long-wave (LW) radiation fluxes.
These are needed for proper quantification of the global ocean heat balance.
Under this research we develop numerous
comparative studies of global and regional air-sea flux fields and flux-related
parameters. Recently in
co-operation with LEGI (Grenoble)
different Global Ocean precipitation data were intercompared for the Global
Ocean (Beranger et al. 2006). Comparison of global cloud cover from NCEP-NCAR
reanalysis and VOS data was performed together with
IFM-GEOMAR (Kiel).Participants [3]: Alexey Sinitsyn, Marina Alexandrova, Sergey Gulev
Characteristics of cyclone activity over the Northern Hemisphere. This research topic is developed under the sponsorship of Ministry for Education and Science of Russian Federation, Russian Foundation for Basic Research and Volkswagen Stiftung. We designed a semiautomatic software for cyclone tracking and analysis (Grigoriev et al. 2000, Gulev et al. 2001, Zolina and Gulev 2002) and numerical scheme for cyclone identification and tracking. We developed climatology of cyclone activity over the Northern Hemisphere, the major modes of variability of cyclone characteristics over Atlantic-European sector and association of the Atlantic cyclone activity with the processes over the North Pacific, including the the NAO regime shifts, clearly seen in European cyclone activity (Gulev et al. 2001, 2002). Of a special importance was the analysis of the NAO regime shifts, clearly seen in European cyclone activity (Gulev et al. 2001, 2002, Jung et al. 2003). Simultaneously, we described the mechanisms driving the propagation an development of cyclones under the impact of sea-air interaction processes in the North Atlantic (Zolina and Gulev 2003). Our cyclone tracking methodology allowed for the quantitative analysis of cyclone characteristics in ECMWF model in different resolutions (Jung et al. 2006. Currently we are closely looking at the changes of cyclone geometry and construction of cyclone composites over the Atlantic Ocean and Europe (Rudeva and Gulev 2006). Simultaneously we analyse characteristics of atmospheric synoptic activity using band-pass statistics of atmospheric variables (Gulev et al. 2002).
Recently we started to model life cycle of the midlatitudinal cyclones using WRF mesoscale model. You can see the model experimental design and the recent results here.Participants [6]: Alexander Gavrikov, Irina Rudeva, Olga Zolina, Sergey Gulev, Vladimir Soloviev, Yulia Zyulyaeva
Indo-Pacific tropical climate variability. This research is funded by Russian Foundation for Basic Research and focused on the analysis of the relationships between oceanic signals and ENSO-related anomalies in precipitation, including monsoon impacts on ENSO.Participants [1]: Igor Zveryaev
Ocean general circulation modeling in different resolutions. These studies products are being developed in co-operation with LEGI (Grenoble). We performed long-term integration with a coarse resolution ocean GCM driven by surface fluxes from reanalyses (Gulev et al. 2003). Later similar experiments were performed with high resolution models (Gulev et al. 2006). We found complicated lagged relationships between the intensity of the North Atlantic thermohaline circulation and surface water mass transformation which represents the “ocean view” of surface fluxes. Currently the ocean modelling activities at SAIL are being developed under the joint DRAKKAR project. Participants [3]: Alexey Arkhipkin, Alexey Sokov, Sergey Gulev
Ocean wind wave studies. This long-term research funded by Ministry for Education and Science of Russian Federation and European Union (INTAS). We have developed two climatologies of ocean wind waves based on wind observations (Gulev and Hasse 1998, Gulev et al. 2003). These regional and global products were used for the quantitative estimation of climate variability in marine storminess on decadal to centennial time scales (Gulev and Hasse 1999, Gulev and Grigorieva 2004, 2006) and new methodologies for the correction of wind observations (Gulev 1999) along with new estimates of the wind stress over the ocean accounting for the wind-wave interactions (Gulev and Hasse 1998).
Global Ocean
Wave Atlas based on VOS observationsParticipants [2]: Sergey Gulev, Vika Grigorieva
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